spectral filtration
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2020 ◽  
Vol 22 (9) ◽  
pp. 093065
Author(s):  
M Surýnek ◽  
L Nádvorník ◽  
E Schmoranzerová ◽  
P Němec

Author(s):  
Wan Emlin Suliza ◽  
Wan Abd Rashid ◽  
Md Zaini Jamaludin ◽  
Nazaruddin Abdul Rahman ◽  
Mansur Mohammed Ali Gamel ◽  
...  

2020 ◽  
Author(s):  
Alexandre Baron ◽  
Patrick Chazette ◽  
Julien Totems

<p>In June 2019, the Lacustrine-Water vApor Isotope inVentory Experiment (L-WAIVE) has been performed in the southern part of the Annecy lake (45°47' N, 6°12' E). The field campaign motivation is to bring a better comprehension on the evaporation processes above Alpine lakes influencing, along with orography, the complex atmospheric structuration. In particular, this two-week field campaign has involved the meteorological Raman lidar WALI (Weather and Aerosol LIdar). An ultra-light aircraft carrying a meteorological probe and a particle sizer performed several vertical profiles above the ground-based Raman lidar with a vertical resolution between 50 and 100 m for flights operated from the ground level (~0.5 km above the mean sea level (AMSL)) and ~4 km AMSL.</p><p>This setup is an opportunity to experimentally assess the instrumental errors on both the temperature and the water vapour mixing ratio profiles derived from the ground-based lidar. The methodology used to calculate the error budget will be presented. It will take into account the different types of statistical noises associated with the lidar measurement. In particular, the importance of the spectral filtration in the accuracy of the results will be discussed. The uncertainties associated with the lidar calibration procedure will be quantified. Following this detailed study, the first results of relative humidity will be presented, taking into account the associated error bars.</p>


PLoS ONE ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. e0228376
Author(s):  
Alexander Wressnegger ◽  
Helmut Prosch ◽  
Bernhard Moser ◽  
Walter Klepetko ◽  
Peter Jaksch ◽  
...  

2019 ◽  
Vol 61 (8) ◽  
pp. 1105-1115 ◽  
Author(s):  
Young Sup Shim ◽  
So Hyun Park ◽  
Seung Joon Choi ◽  
Su Joa Ahn ◽  
Seong Yong Pak ◽  
...  

Background Patients with renal stones receive multiple computed tomography (CT) examinations. We investigated whether submillisievert (sub-mSv) CT for stone detection could reduce radiation dose at exposure levels comparable to kidney, ureter, and bladder (KUB) radiography. Purpose To evaluate the radiation dose exposure, diagnostic performance, and image quality of sub-mSv non-contrast CT using advanced modelled iterative reconstruction algorithm with spectral filtration for the detection of urolithiasis. Material and Methods A total of 145 consecutive patients underwent non-contrast CT using a third-generation dual-source scanner to obtain two datasets, i.e. 16.7% (sub-mSv CT, tube detector A) and 100% (standard-dose CT, combination of tube detector A and B) tube loads with spectral filtration. The performance of sub-mSv CT for the detection of stones was analyzed by two readers and compared with that of standard-dose CT. Image quality was measured subjectively and objectively. Results In total, 171 stones were detected in 79 patients. The mean effective radiation doses of sub-mSv CT was 0.3 mSv. The sensitivity and specificity values for diagnosis of stones measuring ≥3 mm was 95.1% and 100% for sub-mSv CT. The sensitivity and specificity for all stone detection was 74.9% and 97.8%, respectivey, for sub-mSv CT. The image quality was lower for sub-mSv CT than for standard-dose CT ( P < 0.01). Conclusion Sub-mSv CT can be achieved with radiation doses close to KUB radiography. Sub-mSv CT with spectral filtration can be used to detect stones measuring ≥3 mm and be used as a follow-up imaging modality as an alternative to KUB radiography.


2018 ◽  
Vol 43 (5) ◽  
pp. 1087 ◽  
Author(s):  
Alexander Machikhin ◽  
Vladislav Batshev ◽  
Vitold Pozhar ◽  
Alexander Naumov ◽  
Alexey Gorevoy

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